Characterising site investigation performance in multiple-layer soils and soil lenses

References

• Albatal, A. 2013. “Effect of Inadequate Site Investigation on the Cost and Time of a Construction Project.” Master of Science, Construction and Building Engineering Department, Arab Academy for Science, Technology & Maritime Transport, Yemen.
   Google Scholar
• Arsyad, A., M. B. Jaksa, G. A. Fenton, and W. S. Kaggwa. 2009. “The Effect of Limited Site Investigations on the Design of Pile Foundations.” In Proceedings of the International Conference on Soil Mechanics and Geotechnical Engineering (17th: 2009: Egypt).
   Google Scholar
• Bowles, J. E. 1997. Foundation Analysis and Design. 5th ed. New York: McGraw-Hill.
   Google Scholar
• Cao, Z., and Y. Wang. 2014. “Bayesian Model Comparison and Selection of Spatial Correlation Functions for Soil Parameters.” Structural Safety 49: 10–17. doi:10.1016/j.strusafe.2013.06.003.
   Web of Science ®Google Scholar
• Clayton, C. 2001. “Managing Geotechnical Risk: Time for Change?” In Proceedings of the Institution of Civil Engineers-Geotechnical Engineering.
   Google Scholar
• Crisp, M. P. 2020. “SIOPS User Manual (Site Investigation Optimisation for Piles Using Statistics).” doi: 10.13140/RG.2.2.33644.92807
   Google Scholar
• Crisp, M. P., M. B. Jaksa, and Y. L. Kuo. 2018. “Influence of Site Investigation Borehole Pattern and Area on Pile Foundation Performance.” In Proceedings of the 12th ANZ Young Geotechnical Professionals Conference, Hobart.
   Google Scholar
• Crisp, M. P., M. B. Jaksa, and Y. L. Kuo. 2019a. “Characterising Site Investigation Performance in a Two Layer Soil Profile.” Canadian Journal of Civil Engineering. Just-in. doi:10.1139/cjce-2019-0416.
   Web of Science ®Google Scholar
• Crisp, M. P., M. B. Jaksa, and Y. L. Kuo. 2019b. Framework for the Optimisation of Site Investigations for Pile Designs in Complex Multi-Layered Soil, Research Report, School of Civil, Environmental and Mining Engineering, University of Adelaide, Adelaide, S.A.
   Google Scholar
• Crisp, M. P., M. B. Jaksa, and Y. L. Kuo. 2019c. “Toward a Generalized Guideline to Inform Optimal Site Investigations for Pile Design.” Canadian Geotechnical Journal 57 (8): 1119–1129. doi:10.1139/cgj-2019-0111.
   Web of Science ®Google Scholar
• Crisp, M. P., M. B. Jaksa, Y. L. Kuo, G. A. Fenton, and D. V. Griffiths. 2019d. “A Method for Generating Virtual Soil Profiles with Complex, Multi-Layer Stratigraphy.” Georisk 13 (2): 154–163. doi:10.1080/17499518.2018.1554817.
   Google Scholar
• Day, R. W. 1999. Forensic Geotechnical and Foundation Engineering. New York: McGraw-Hill.
   Google Scholar
• Fenton, G. A., and D. Griffiths. 1993. “Statistics of Block Conductivity Through a Simple Bounded Stochastic Medium.” Water Resources Research 29 (6): 1825–1830. doi: 10.1029/93WR00412
   Web of Science ®Google Scholar
• Fenton, G. A., and D. Griffiths. 2002. “Probabilistic Foundation Settlement on Spatially Random Soil.” Journal of Geotechnical and Geoenvironmental Engineering 128 (5): 381–390. doi: 10.1061/(ASCE)1090-0241(2002)128:5(381)
   Web of Science ®Google Scholar
• Fenton, G. A., and D. V. Griffiths. 2005. “Three-dimensional Probabilistic Foundation Settlement.” Journal of Geotechnical and Geoenvironmental Engineering 131 (2): 232–239. doi: 10.1061/(ASCE)1090-0241(2005)131:2(232)
   Web of Science ®Google Scholar
• Fenton, G. A., and D. V. Griffiths. 2008. Risk Assessment in Geotechnical Engineering. Hoboken: Wiley.
   Google Scholar
• Fenton, G. A., G. M. Paice, and D. V. Griffiths. 1996. “Probabilistic Analysis of Foundation Settlement.” Golden: Geomechanics Research Center, Colorado School of Mines.
   Google Scholar
• Fenton, G. A., and E. H. Vanmarcke. 1990. “Simulation of Random Fields via Local Average Subdivision.” Journal of Engineering Mechanics 116 (8): 1733–1749. doi: 10.1061/(ASCE)0733-9399(1990)116:8(1733)
   Web of Science ®Google Scholar
• Goldsworthy, J. S. 2006. “Quantifying the Risk of Geotechnical Site Investigations.” Ph.D. thesis, School of Civil, Environmental and Mining Engineering, The University of Adelaide, Adelaide, S.A.
   Google Scholar
• Goldsworthy, J. S., M. B. Jaksa, G. A. Fenton, W. S. Kaggwa, D. V. Griffiths, and H. G. Poulos. 2007. “Effect of Sample Location on the Reliability Based Design of pad Foundations.” Georisk 1 (3): 155–166.
   Google Scholar
• Griffiths, D., and G. A. Fenton. 1993. “Seepage Beneath Water Retaining Structures Founded on Spatially Random Soil.” Geotechnique 43 (4): 577–587. doi: 10.1680/geot.1993.43.4.577
   Web of Science ®Google Scholar
• Jaksa, M. B. 2000. “Geotechnical Risk and Inadequate Site Investigations: a Case Study.” Australian Geomechanics 35 (2): 39–46.
   Google Scholar
• Jaksa, M., J. Goldsworthy, G. Fenton, W. Kaggwa, D. Griffiths, Y. Kuo, and H. Poulos. 2005a. “Towards Reliable and Effective Site Investigations.” Géotechnique 55 (2): 109–121. doi: 10.1680/geot.2005.55.2.109
   Web of Science ®Google Scholar
• Jaksa, M. B., J. S. Goldsworthy, G. A. Fenton, W. S. Kaggwa, D. V. Griffiths, Y. L. Kuo, and H. G. Poulos. 2005b. “Towards Reliable and Effective Site Investigations.” Geotechnique 55 (2): 109–121. doi: 10.1680/geot.2005.55.2.109
   Web of Science ®Google Scholar
• Jaksa, M. B., W. S. Kaggwa, G. A. Fenton, and H. G. Poulos. 2003. “A Framework for Quantifying the Reliability of Geotechnical Investigations.” In Proceedings of the 9th International Conference on the Application of Statistics and Probability in Civil Engineering.
   Google Scholar
• Li, J., M. J. Cassidy, J. Huang, L. Zhang, and R. Kelly. 2016. “Probabilistic Identification of Soil Stratification.” Géotechnique 66 (1): 16–26. doi: 10.1680/jgeot.14.P.242
   Web of Science ®Google Scholar
• Li, A., N. H. Jafari, and F. T. C. Tsai. 2019. “Modelling and Comparing 3-D Soil Stratigraphy Using Subsurface Borings and Cone Penetrometer Tests in Coastal Louisiana, USA.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 1–19. doi:10.1080/17499518.2019.1637528.
   Google Scholar
• Loehr, J. E., D. Ding, and W. J. Likos. 2015. “Effect of Number of Soil Strength Measurements on Reliability of Spread Footing Designs.” Transportation Research Record: Journal of the Transportation Research Board 2511: 37–44. doi: 10.3141/2511-05
   Google Scholar
• Moh, Z. C. 2004. “Site Investigation and Geotechnical Failures.” In Proceedings of the Proceeding of International Conference on Structural and Foundation Failures.
   Google Scholar
• Naghibi, F., G. A. Fenton, and D. V. Griffiths. 2014a. “Prediction of Pile Settlement in an Elastic Soil.” Computers and Geotechnics 60: 29–32. doi: 10.1016/j.compgeo.2014.03.015
   Web of Science ®Google Scholar
• Naghibi, F., G. A. Fenton, and D. V. Griffiths. 2014b. “Serviceability Limit State Design of Deep Foundations.” Geotechnique 64 (10): 787–799. doi: 10.1680/geot.14.P.40
   Web of Science ®Google Scholar
• Rawlinsons, A. 2016. Australian Construction Handbook. 34th ed., 1005. Perth, Australia: Rawlhouse Publishing Pty. Ltd.
   Google Scholar
• Salgado, R. 2008. The Engineering of Foundations. Vol. 888. McGraw-Hill New York.
   Google Scholar
• Sastre Jurado, C., P. Breul, C. Bacconnet, and M. Benz-Navarrete. 2020. “Probabilistic 3D Modelling of Shallow Soil Spatial Variability Using Dynamic Cone Penetrometer Results and a Geostatistical Method.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 1–13. doi:10.1080/17499518.2020.1728558.
   Google Scholar
• Smith, I. M., D. V. Griffiths, and L. Margetts. 2014. Programming the Finite Element Method. 5th ed. Chichester: John Wiley & Sons.
   Google Scholar
• Sowers, G. 1962. Shallow Foundations. Vol. 569. New York, NY: McGraw-Hill.
   Google Scholar
• Vanmarcke, E. H. 1983. Random Fields: Analysis and Synthesis. London: MIT Press.
   Google Scholar
• Vanwalleghem, T., J. Poesen, A. McBratney, and J. Deckers. 2010. “Spatial Variability of Soil Horizon Depth in Natural Loess-Derived Soils.” Geoderma 157 (1-2): 37–45. doi: 10.1016/j.geoderma.2010.03.013
   Web of Science ®Google Scholar